I am reserving 5 star ranking for Prof Andrew NG courses only until he does a course titled " Learning How to teach" and it is passed by those wanting a 5 star ranking.

Really nice well explained course. It gives really state of the art content and encourage you to learn more from papers. It is a well balanced with nice content course.

This course was awesome! I have a solid understanding of CNNs now, and I thought the neural style transfer and face recognition topics were super cool. Thank you Ng! :)

Probably the best course in the series so far. Really cool assignments, and well-structured course. Was able to do practical implementations beyond the course material.

Awesome lectures!! Extremely good and tricky assignment, almost close to dealing with real-life problems!!

Very grateful to "Andrew Ng" sir and the whole Coursera team.

WOW! Best course in the specialization, especially weeks 3&4. Neural Style Transfer is so much fun! I'm going to buy a new GPU just so I can play around with it more:)

As always, Andrew NG courses are excellent: the explanations are clear, the assignments help better understand the lectures and the instructor encourages you to pursue

I learned very much from this course! Computer vision was a very interesting topic that I am so happy to have learned to implement using convolutional neural networks!

It is very nicely designed course that gives a good understanding of state of the art Image classification and recognition algorithms using Convolution Neural Networks

great course, great architecture are presented in a simple and nice way, very good exercises and article references loved it! and I feel like it added a greater value

An excellent course, with well thought out assignments. Once I started it, I couldn't help but keep going and exploring. I am bit sad that the course is actually over.

This course gives me a more intuitive understanding of the principles of CNN. I have mastered and implemented many classic CNN structures through the four-week course.

Very good practical content! I suggest all programming courses teach in the same manner!

Combining jupyter notebook and lecture and quiz! Self-paced yet with deadlines!

Great course! Veru detailed explanations. Assignments could be improved by adding a bit more guidence on how to use the same code outside of the Coursera environment.

It is the best course on CNN one can get if you are a beginner. The course is very well structured and gives good intuitions on very complex ideas. Highly recommended

Hands-on assignments, this is something I missed in earlier courses, this course gives you an opportunity to see how models are implemented in real-world. Great Job !

Another great course by Andrew! The course is very interesting and Andrew takes every effort to make things clear to the students. Thank you for the wonderful course!

Hi Andrew,

This is the The best on Ineternet for CNN. There is no replacement of your hand written style of explanation. Please keep this style of teaching.

thx

-Suresh

I have had a lot of fun playing with the NST software. I thought the object detector was the most fun I've had with a neural network but then the NST was even better.

The description of CNN's and deep NN's was excellent, this course helps to understand NN's and their functions and how they help to improve the accuracy of results.

Excellent teaching and illustration of concepts. The quizzes and assignments are meticulously designed such that in spite of being challenging, they are fun to do !!

Very thorough treatment of Literature. Andrew goes in great length to describe basics of CNN and then goes on to show the applications.

Looking forward to RNN course.

este curso fue excelente, aprendí muchas cosas, en aprendizaje profundo, recomiendo el curso.

La explicación de Andrew es muy clara, y muchos ejemplos en los videos.

Great content with many examples and comprehensible videos. With clear reference to the original articles you can always look up more about the different algorithms.

great introduction to the topic. Lots of information and technique. This course enables me to converse with Machine Learning Engineers and help out on small projects